多类别决策森林与随机森林 [英] Multiclass Decision Forest vs Random Forest

问题描述

多类决策森林与随机森林有何不同?它们有哪些共同点?似乎网上对此问题没有明确的答案.

How does Multiclass Decision Forest differ from Random Forest? What factors do they have in common? It appears there is not a clear answer on the web regarding this matter.

推荐答案

随机森林或随机决策森林是决策森林(决策树的集合)的扩展，结合了装袋和特征的随机选择以构建具有以下特征的决策树集合:受控方差.

Random forests or random decision forests is an extension of the decision forests (ensemble of decision trees) combining bagging and random selection of features to construct a collection of decision trees with controlled variance.

非常好的

A very good paper from Microsoft research you may consider to look at.

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